2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Self-Prompting Small Language Models for Privacy-Sensitive Clinical Information Extraction
Yao-Shun Chuang, Tushti Mody, Uday Pratap Singh +6
Clinical named entity recognition from dental progress notes is challenging because documentation is highly unstructured, domain-specific, and often privacy-sensitive. We developed…
Cross-Institutional Dental EHR Entity Extraction via Generative AI and Synthetic Notes
Yao-Shun Chuang, Chun-Teh Lee, Oluwabunmi Tokede +5
This research addresses the issue of missing structured data in dental records by extracting diagnostic information from unstructured text. The updated periodontology classificatio…
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records
Yao-Shun Chuang, Xiaoqian Jiang, Chun-Teh Lee +4
This study explored the usability of prompt generation on named entity recognition (NER) tasks and the performance in different settings of the prompt. The prompt generation by GPT…